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Oct 9, 2023

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (Paper Explained)

Posted by in categories: engineering, evolution, information science

#evolution.

Promptbreeder is a self-improving self-referential system for automated prompt engineering. Give it a task description and a dataset, and it will automatically come up with appropriate prompts for the task. This is achieved by an evolutionary algorithm where not only the prompts, but also the mutation-prompts are improved over time in a population-based, diversity-focused approach.

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Oct 9, 2023

Harvard astronomers find explanation for Milky Way’s warp

Posted by in category: space

Date September 27, 2023

Oct 9, 2023

Dementia: Shorter telomeres on white blood cells may increase risk

Posted by in categories: biotech/medical, life extension, neuroscience

Researchers say they have linked shorter telomeres on white blood cells to higher dementia risk, although outside experts say there are limitations to this study.

Oct 9, 2023

NeuroTech Analytics

Posted by in categories: biotech/medical, life extension

Driving Forces Behind the Growth in UAE’s Life Sciences Industry: the latest from the Life Sciences Division of Deep Knowledge Group created by Deep Knowledge Group, Aging Analytics Agency, Deep Pharma Intelligence, NeuroTech.com, FemTech Analytics, and Deep Knowledge Analytics:

Population Aging: With the world’s population getting older, the demand for medical services is soaring. The UAE is no exception, and this demographic shift is a key driver of growth in the life sciences sector.

New Machines and Drugs: Constant innovation is driving the development of new treatments and drugs to address previously unmet health needs. This not only enhances patient care but also sparks technological… More.

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Oct 9, 2023

How to watch NASA reveal the Bennu asteroid sample

Posted by in categories: materials, space

NASA recently succeeded at bringing to Earth a sample collected from a distant asteroid, and this week it will show off the material for the first time.

Oct 9, 2023

NASA telescope photographs supermassive black hole surrounded by ring of stars

Posted by in category: cosmology

NASA’s Hubble Space Telescope has snapped a new photograph of a spiral galaxy located 78 million light-years away, originally discovered in 1877.

Oct 9, 2023

How to watch two astronauts check the ISS for microbes

Posted by in categories: biological, space

Two astronauts will perform a spacewalk from the International Space Station, collecting samples from the station’s exterior to use in scientific research.

Oct 9, 2023

Earth’s largest-ever solar storm discovered through tree rings

Posted by in category: futurism

An international team of researchers has uncovered evidence of the largest solar storm ever identified by studying ancient tree rings.

The evidence points to a colossal spike in radiocarbon levels from 14,300 years ago, found in tree rings from the French Alps.

The colossal storm discovered by the scientists originated from the Sun and was so powerful that a similar event would be catastrophic with modern technology.

Oct 9, 2023

John Hagel on moving from threat to opportunity, the passion of the explorer, learning platforms, and scalable learning in practice

Posted by in category: energy

Explore the transformative journey from fear to boundless opportunity with John Hagel. Dive deep into the ‘passion of the Explorer,’ collaborative problem-solving, and the power of scalable learning. Discover narratives that fuel Silicon Valley’s growth and learn to embrace the ‘Explorer Mindset.’ Listen to this episode and embark on a journey from threat to opportunity, unlocking your potential and embracing transformative learning experiences that empower your personal and professional growth.

Oct 9, 2023

Transformers — Intuitively and Exhaustively Explained

Posted by in category: robotics/AI

In this post you will learn about the transformer architecture, which is at the core of the architecture of nearly all cutting-edge large language models. We’ll start with a brief chronology of some relevant natural language processing concepts, then we’ll go through the transformer step by step and uncover how it works.

Who is this useful for? Anyone interested in natural language processing (NLP).

How advanced is this post? This is not a complex post, but there are a lot of concepts, so it might be daunting to less experienced data scientists.